Create an example Modular ternaryPlot Shiny Application

This function generates a Shiny application with modular ternaryPlot components. The app features a Data Import section for uploading data, a Data Table for filtering the active dataset, and a Plot area for configuring and displaying an interactive ternary plot.

Usage

ternaryPlotApp(data_list = NULL)

Arguments

data_list

An optional named list of data frames. If NULL (the default), list("roles" = example_roles) is used. Each data frame should contain numeric columns for the three ternary axes (a, b, c). For multiple traces, include a grouping column.

Value

A Shiny app object.

Details

When data_list is not provided (or NULL), the app launches with example_roles as an example dataset. Uploaded data files are added to the available datasets and can be selected for plotting. If an uploaded file shares a name with an existing dataset, the existing one is overwritten with a warning.

This is a convenience wrapper around createModuleApp().

See also

ternaryPlot(), ternaryPlotInputsUI(), ternaryPlotOutputUI(), ternaryPlotServer()

Author

Jacob Martin, Jared Andrews

Examples

library(VizModules)
# Launch with default example data:
app <- ternaryPlotApp()
if (interactive()) runApp(app)

# Launch with custom data:
df <- data.frame(
    journalist = c(75, 70, 75, 5, 10),
    developer = c(25, 10, 20, 60, 80),
    designer = c(0, 20, 5, 35, 10)
)
app2 <- ternaryPlotApp(list("roles" = df))
if (interactive()) runApp(app2)